Triple
T30208983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shots |
E768015
|
entity |
| Predicate | associatedWithMilitaryTown |
P139461
|
FINISHED |
| Object | Aldershot |
E60600
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aldershot | Statement: [The Shots, associatedWithMilitaryTown, Aldershot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMilitaryTown Context triple: [The Shots, associatedWithMilitaryTown, Aldershot]
-
A.
associatedWithMilitaryHistory
Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
-
B.
hasNearbyMilitaryTown
chosen
Indicates that one location is situated close to a town whose primary function or identity is associated with military presence or activity.
-
C.
hasMilitaryAssociation
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
-
D.
associatedWithWar
Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or context.
-
E.
associatedWithMilitaryConquests
Indicates a relationship where an entity is connected to, involved in, or characterized by military conquests or campaigns.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a276ee715e4819081459592b3fb7562 |
completed | June 9, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:32 p.m.